Mistral Medium vs GPT-4.1 mini

Performance benchmarks + pricing comparison — updated April 2026

Mistral Medium

Mistral

Mid-tier Mistral model between Small and Large. Strong coding capability at a moderate price point.

Input	$0.400/M
Output	$2.00/M
Context	128K tokens
Best For	Day-to-day coding, mid-complexity tasks, cost-performance balance

OpenAI

Cost-optimized GPT-4.1 variant. Strong coding capability at budget pricing, replacing GPT-4o mini for many use cases.

Input	$0.400/M
Output	$1.60/M
Context	128K tokens
Best For	High-volume coding, cost-sensitive projects, automation
Benchmark	68/100

Estimated cost per project with 30% cache hit rate. Actual costs may vary based on usage patterns.

Scenario	Mistral Medium	GPT-4.1 mini	Savings
Small Script (1K lines)	$0.07	$0.06	GPT-4.1 mini saves $0.01 (16%)
Medium Feature (10K lines)	$0.54	$0.46	GPT-4.1 mini saves $0.08 (15%)
Large Project (50K lines)	$2.70	$2.30	GPT-4.1 mini saves $0.40 (15%)
Code Review (5K lines)	$0.12	$0.11	GPT-4.1 mini saves <$0.01 (8%)

Mistral Medium wins on both price and performance — $0.400/M input with a benchmark score of N/A/100.

For most developers, this is the clear choice between these two models.

Anthropic's balanced model for coding and general tasks. Best price-performance ratio in the Claude family.

Anthropic's most powerful model. Best for complex reasoning and challenging coding tasks.

Previous generation Sonnet. Still excellent for coding tasks at the same price point.

Fast, cost-effective model for high-volume tasks. Great for code review and simple queries.

First generation Opus. Highest reasoning capability in the Claude 3 family.

First generation Sonnet. Balanced performance for general tasks.